Yihui Ren

Orcid: 0000-0002-5750-6964

Affiliations:
  • Brookhaven National Laboratory, Upton, NY, USA


According to our database1, Yihui Ren authored at least 23 papers between 2016 and 2024.

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Bibliography

2024
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks.
CoRR, 2024

2023
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023

Unsupervised Domain Transfer for Science: Exploring Deep Learning Methods for Translation between LArTPC Detector Simulations with Differing Response Models.
CoRR, 2023

Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation.
CoRR, 2023

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Perturbative methods for mostly monotonic probabilistic satisfiability problems.
CoRR, 2022

A Bayesian Deep Learning Approach to Near-Term Climate Prediction.
CoRR, 2022

Peak Prediction Using Multi Layer Perceptron (MLP) for Edge Computing ASICs Targeting Scientific Applications.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Design and Challenges of Edge Computing ASICs on Front-End Electronics.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

2021
Feature Importance in a Deep Learning Climate Emulator.
CoRR, 2021

Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework.
Soc. Netw. Anal. Min., 2020

3D distributed deep learning framework for prediction of human intelligence from brain MRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game.
Proceedings of the 2019 Winter Simulation Conference, 2019

Performance Analysis of Deep Learning Workloads on Leading-edge Systems.
Proceedings of the 2019 IEEE/ACM Performance Modeling, 2019

Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments.
Proceedings of the 2018 Winter Simulation Conference, 2018

An Approach to Structural Analysis Using Moore-Shannon Network Reliability.
Proceedings of the Complex Networks and Their Applications VII, 2018

Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Hybrid Agent-based modeling of Zika in the united states.
Proceedings of the 2017 Winter Simulation Conference, 2017

2016
From Network Reliability to the Ising Model: A Parallel Scheme for Estimating the Joint Density of States.
CoRR, 2016


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